Driving an Image Capture System to Serve Plural Image-Consuming Processes

    公开(公告)号:US20190012835A1

    公开(公告)日:2019-01-10

    申请号:US15643494

    申请日:2017-07-07

    Abstract: A technique is described herein that employs a resource-efficient image capture system. The image capture system includes an active illumination system for emitting electromagnetic radiation within a physical environment. The image capture system also includes a camera system that includes one or more cameras for detecting electromagnetic radiation received from the physical environment, to produce image information. In one implementation, the technique involves using the same image capture system to produce different kinds of image information for consumption by different respective image processing components. The technique can perform this task by allocating timeslots over a span of time for producing the different kinds of image information. In one case, the image processing components include: a pose tracking component; a controller tracking component; and a surface reconstruction component, etc., any subset of which may be active at any given time.

    DEPTH SENSING SYSTEM WITH DIFFERENTIAL IMAGING CAMERA

    公开(公告)号:US20190132574A1

    公开(公告)日:2019-05-02

    申请号:US15799942

    申请日:2017-10-31

    Abstract: A depth sensing system includes a scanning laser line projector configured to scan a laser line across a scene within the field of view of a differential imaging camera. The differential imaging camera outputs a stream of data that identifies indices for only pixels that have changed in intensity at continuous points in time. As the laser line is scanned across the scene, a line profile is observed by the differential imaging camera due to a disparity between the location of the scanning laser line projector and the differential imaging camera. The differential imaging camera streams data identifying the indices of pixels located along the line profile that have changed in intensity. A 3D depth map is generated based upon known positions of the laser line and the data received from the differential imaging camera. Scanning of the laser line can also be limited to a region of interest.

    Reducing Blur in a Depth Camera System
    3.
    发明申请

    公开(公告)号:US20180343432A1

    公开(公告)日:2018-11-29

    申请号:US15603409

    申请日:2017-05-23

    Abstract: A technique is described herein for reducing blur caused by an imaging assembly of a depth camera system. In a runtime phase, the technique involves receiving a sensor image that is generated in response to return radiation reflected from a scene. The return radiation passes through an optical element (such as a visor element) of the imaging assembly, which produces blur due to the scattering of radiation. The technique then deconvolves the sensor image with a kernel, to provide a blur-reduced image. The kernel represents a point spread function that describes the distortion-related characteristics of at least the optical element. The technique then uses the blur-reduced image to calculate a depth image. The technique also encompasses a calibration-phase process for generating the kernel by modeling blur that occurs near an edge of a test object within a test image.

    IPD CORRECTION AND REPROJECTION FOR ACCURATE MIXED REALITY OBJECT PLACEMENT

    公开(公告)号:US20200041799A1

    公开(公告)日:2020-02-06

    申请号:US16593176

    申请日:2019-10-04

    Abstract: Optimizations are provided for generating passthrough visualizations for Head Mounted Displays. The interpupil distance of a user wearing a head-mounted device is determined and a stereo camera pair with a left and right camera is used to capture raw images. The center-line perspectives of the images captured by the left camera have non-parallel alignments with respect to center-line perspectives of any images captured by the right camera. After the raw images are captured, various camera distortion corrections are applied to the images to create corrected images. Epipolar transforms are then applied to the corrected images to create transformed images having parallel center-line perspectives. Thereafter, a depth map is generated of the transformed images. Finally, left and right passthrough visualizations are generated and rendered by reprojecting the transformed left and right images.

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